MedCalc 12.7.4.0 (x86/x64)

                           MedCalc 12.7.4.0 (x86/x64)

MedCalc 12.7.4.0 (x86/x64) | 31.38 MB

MedCalc is a complete statistical program for Windows designed to closely match the requirements of biomedical researchers. It is fast, user-friendly and reliable. MedCalc is the most user-friendly software for Receiver Operating Characteristic curve (ROC curves) analysis. The MedCalc ROC module includes comparison of up to 6 ROC curves. The software also includes Bland & Altman plot, Passing and Bablok and Deming regression for method comparison studies.

MedCalc for Windows description

• Data management

• Integrated spreadsheet with 16384 columns and up to 100000 rows.

• Correct handling of missing data.

• Outliers can easily be excluded.

• Built-in WYSIWYG text editor.

• Imports Excel, Excel 2007, SPSS, DBase and Lotus files, and files in SYLK, DIF or plain text format.

• Easy selection of subgroups for statistical analysis.

Documentation

• Comprehensive help file.

• Manual in PDF format (go to download area).

• Complete HTML manual on MedCalc web site.

• Context help in dialog boxes.

ROC curve analysis

• Area under the curve (AUC) with standard error, 95% confidence interval, P-value. Offers choice between methodology of DeLong et al. (1988) and Hanley & McNeil (1982, 1983).

• List of sensitivity, specificity, likelihood ratios, and positive and negative predictive values for all possible threshold values.

• ROC curve graph with 95% Confidence Bounds.

• Threshold values can be selected in an interactive dot diagram with automatic calculation of corresponding sensitivity and specificity.

• Plot of sensitivity and specificity versus criterion values.

• Interval likelihood ratios.

• Comparison of up to 6 ROC curves: difference between the areas under the ROC curves, with standard error, 95% confidence interval and P-value.

• Sample size calculation for area under ROC curve and comparison of ROC curves.

• Go to the ROC curve analysis section of the MedCalc manual for more information on ROC curve analysis in MedCalc.

Graphs

• Lots of graphs, see Graph gallery.

• Data point identification in graphs.

• Draw text boxes, lines, arrows and connectors.

• Name, save and recall graphs and statistics.

• Statistical info in graph windows.

• Save graphs as BMP, PNG, GIF, PCX, JPG or TIF files, or as PowerPoint slides (*.pptx).

Homepage : http://www.medcalc.org

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